Docs over SSH for Agents
Coding agents spend a lot of time in the shell. When exploring a codebase, they usually reach for the same handful of tools: grep, find, ls, cat. We built a public SSH server that hosts Supabase docs as markdown files so that agents can explore them the same way they explore code: ssh supabase.sh grep -rl 'RLS' docs ssh supabase.sh cat docs/guides/database/postgres/row-level-security.md | head -10 Under the hood commands run inside Vercel's just-bash [1] library - an emulated bash shell sandboxed within the JS runtime. It uses a VFS where the docs are mounted as markdown…
What it does
In the maker’s words, at launch
Coding agents spend a lot of time in the shell. When exploring a codebase, they usually reach for the same handful of tools: grep, find, ls, cat. We built a public SSH server that hosts Supabase docs as markdown files so that agents can explore them the same way they explore code: ssh supabase.sh grep -rl 'RLS' docs ssh supabase.sh cat docs/guides/database/postgres/row-level-security.md | head -10 Under the hood commands run inside Vercel's just-bash [1] library - an emulated bash shell sandboxed within the JS runtime. It uses a VFS where the docs are mounted as markdown files. SSH is handled by ssh2 [2]. Next step is evals to confirm whether or not this truly performs better than other knowledge retrieval methods (like skills, web search, MCP tools), but we were too excited not to share something now. [1] https://github.com/vercel-labs/just-bash [2] https://github.com/mscdex/ssh2
Does the same job
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Hi HN, I built agentsearch, a free tool that turns any documentation website into a browsable filesystem that you can access with one command. npx nia-docs https://docs.anthropic.com This opens a shell where the docs are mounted as files. You can: - tree to explore - grep across pages - cat specific files The idea is simple: let agents read docs the same way developers read codebases. Most coding errors from agents come from stale or incomplete context. Docs change constantly, but models are trained on old data. RAG helps, but it returns fragments. In practice, a lot of answers…
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I built a full backend-as-a-service platform — solo, in TypeScript — to fix what I hated about Supabase and Appwrite. The Problem - Supabase: Too rigid. One schema model. No flexibility. - Appwrite: Too loose. No RLS. Security is manual. The Solution: 3 Schema Types | Type | Use Case | Security | |------------|-----------------------------------|----------| | `Document` | Rapid prototyping (Appwrite-style) | Manual | | `Managed` | Secure apps (auto RLS + permissions) | *Secure by default* | | `Unmanaged`| Full SQL power (raw Postgres) | None | ### Killer Features - *APIs better than…
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